Spectral regression: a unified subspace learning framework for content-based image retrieval

@inproceedings{Cai2007SpectralRA,
  title={Spectral regression: a unified subspace learning framework for content-based image retrieval},
  author={Deng Cai and Xiaofei He and Jiawei Han},
  booktitle={ACM Multimedia},
  year={2007}
}
Relevance feedback is a well established and effective framework for narrowing down the gap between low-level visual features and high-level semantic concepts in content-based image retrieval. In most of traditional implementations of relevance feedback, a distance metric or a classifier is usually learned from user's provided negative and positive examples. However, due to the limitation of the user's feedbacks and the high dimensionality of the feature space, one is often confront with the… CONTINUE READING
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